Evidence map›Paper›PMID 34833578›Full record

ArticleSensors (Basel, Switzerland)2021

A Self-Powered and Battery-Free Vibrational Energy to Time Converter for Wireless Vibration Monitoring.

Namanu Panayanthatta, Giacomo Clementi, Merieme Ouhabaz, Mario Costanza, Samuel Margueron, Ausrine Bartasyte, Skandar Basrour, Edwige Bano, Laurent Montes, Catherine Dehollain and 1 more

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Lead-Free LiNbOSensors (Basel, Switzerland) · 2022
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Namanu PanayanthattaInstitut IMEP-LaHC, University Grenoble Alpes, University Savoie Mont Blanc, CNRS, Grenoble INP, IMEP-LaHC, 38000 Grenoble, France.
Giacomo ClementiFEMTO-ST Institute, University of Bourgogne Franche-Comté, CNRS (UMR 6174), ENSMM, 26 rue de l'Epitaphe, 25030 Besançon, France.
Merieme OuhabazFEMTO-ST Institute, University of Bourgogne Franche-Comté, CNRS (UMR 6174), ENSMM, 26 rue de l'Epitaphe, 25030 Besançon, France.
Mario CostanzaFEMTO-ST Institute, University of Bourgogne Franche-Comté, CNRS (UMR 6174), ENSMM, 26 rue de l'Epitaphe, 25030 Besançon, France.ORCID 0000-0003-4028-4434
Samuel MargueronFEMTO-ST Institute, University of Bourgogne Franche-Comté, CNRS (UMR 6174), ENSMM, 26 rue de l'Epitaphe, 25030 Besançon, France.
Ausrine BartasyteFEMTO-ST Institute, University of Bourgogne Franche-Comté, CNRS (UMR 6174), ENSMM, 26 rue de l'Epitaphe, 25030 Besançon, France.ORCID 0000-0002-8862-2669
Skandar BasrourTIMA, University Grenoble Alpes, CNRS, Grenoble INP, 38000 Grenoble, France.ORCID 0000-0003-1164-7996
Edwige BanoInstitut IMEP-LaHC, University Grenoble Alpes, University Savoie Mont Blanc, CNRS, Grenoble INP, IMEP-LaHC, 38000 Grenoble, France.
Laurent MontesInstitut IMEP-LaHC, University Grenoble Alpes, University Savoie Mont Blanc, CNRS, Grenoble INP, IMEP-LaHC, 38000 Grenoble, France.
Catherine DehollainEcole Polytechnique Federale de Lausanne, 1015 Losanne, Switzerland.
Roberto La RosaEcole Polytechnique Federale de Lausanne, 1015 Losanne, Switzerland.ORCID 0000-0002-5296-9994

Funding

European MSCN-ITN-ENHANCE program 722496French RENATECH network, EUR EIPHI ANR-17- EURE-0002
6 · The paper itself

Abstract

Wireless sensor nodes (WSNs) are the fundamental part of an Internet of Things (IoT) system for detecting and transmitting data to a master node for processing. Several research studies reveal that one of the disadvantages of conventional, battery-powered WSNs, however, is that they typically require periodic maintenance. This paper aims to contribute to existing research studies on this issue by exploring a new energy-autonomous and battery-free WSN concept for monitor vibrations. The node is self-powered from the conversion of ambient mechanical vibration energy into electrical energy through a piezoelectric transducer implemented with lead-free lithium niobate piezoelectric material to also explore solutions that go towards a greener and more sustainable IoT. Instead of implementing any particular sensors, the vibration measurement system exploits the proportionality between the mechanical power generated by a piezoelectric transducer and the time taken to store it as electrical energy in a capacitor. This helps reduce the component count with respect to conventional WSNs, as well as energy consumption and production costs, while optimizing the overall node size and weight. The readout is therefore a function of the time it takes for the energy storage capacitor to charge between two constant voltage levels. The result of this work is a system that includes a specially designed lead-free piezoelectric vibrational transducer and a battery-less sensor platform with Bluetooth low energy (BLE) connectivity. The system can harvest energy in the acceleration range [0.5 g-1.2 g] and measure vibrations with a limit of detection (LoD) of 0.6 g.

Indexed as

Bluetooth low energyenergy harvestinginternet of things (IoT)low powermicrocontrollerpiezoelectric transducersvibrational sensorswireless sensor networkwireless sensor node

Identifiers

PMID34833578
PMCPMC8618968

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.